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Filter reviews by Infosys Data Science & Analytics Department Pune Reviews
Overall Rating
based on 420
reviews
What employees say about Infosys?
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Hybrid
97% employees reported
Monday to Friday
91% employees reported
Flexible timing
73% employees reported
No travel
73% employees reported
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Gender based rating
Rated by Women
121 reviews
Rated by Men
293 reviews
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in Infosys Data Science & Analytics Department Pune Reviews
420 reviews found
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easylobster11
works at
Accenture
Confused between 2 offers
Hi all, I am having two offers- one from Infy (Kolkata) another from Deloitte (Hyd). Kolkata being my preferred location, while Deloitte offering 15k more monthly. (I know Hyd's expense will cancel this out eventually).
Kindly suggest on what to do. This is my first switch.
Thanks in advance.
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People also ask about Infosys's Data Science & Analytics Department in Pune
Is Infosys's Data Science & Analytics Department in Pune a good place to work for?
The experience of working at any company can vary based on factors like team, manager, role, company policy etc. However, with an overall rating of 3.5 out of 5 from over 420 employee reviews, it's clear that most employees have an average experience working at Infosys's Data Science & Analytics Department in Pune.
Job security holds the highest rating at 4.1, while career growth is rated the lowest amongst all factors at 2.5.
Read reviews about
job security
and
career growth
on AmbitionBox.
Does Infosys's Data Science & Analytics Department in Pune pay their employees well?
According to AmbitionBox reviews, Infosys's Data Science & Analytics Department in Pune employees rate their salary and benefits at 2.6 out of 5, based on 420 reviews. This lower rating reflects a significant level of dissatisfaction among employees regarding compensation and benefits, suggesting that many may feel undercompensated. You can know more about Infosys's Data Science & Analytics Department in Pune salaries
here
and to read reviews specifically about salary and benefits at Infosys's Data Science & Analytics Department in Pune,
click here
.
How is the work culture at Infosys's Data Science & Analytics Department in Pune?
Work culture at Infosys's Data Science & Analytics Department in Pune is rated 3.5 out of 5 by 420 employees on AmbitionBox, indicating an average environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. The rating reflects that while some aspects of the work culture are satisfactory, there is room for improvement in certain areas.To read reviews specifically about work culture at Infosys's Data Science & Analytics Department in Pune,
click here
.
How is the job security at Infosys's Data Science & Analytics Department in Pune?
Based on 420 reviews on AmbitionBox, Infosys's Data Science & Analytics Department in Pune employees rate job security at 4.1 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at Infosys's Data Science & Analytics Department in Pune, indicating that most employees feel secure in their positions and trust the company to provide a reliable work environment. To read reviews about job security at Infosys's Data Science & Analytics Department in Pune,
click here
.
Is work from home available at Infosys's Data Science & Analytics Department in Pune?
According to 69 AmbitionBox reviews, Infosys's Data Science & Analytics Department in Pune does not currently offer any work-from-home options. All employees work from the office, reflecting a fully on-site work arrangement. To read reviews specifically about work-life balance,
click here.
How do I get a job at Infosys's Data Science & Analytics Department in Pune?
To get a job at Infosys's Data Science & Analytics Department in Pune, start by browsing the current open positions
here
and apply for roles that align with your skills and interests. It’s crucial to tailor your resume and cover letter to highlight relevant experience. Additionally, research top Infosys interview questions and practice your responses to prepare thoroughly.
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